Association Dictionary Creation Apparatus for Personalized Search
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Solution Overview
Problem
Conventional association dictionary creation methods require users to input specific search criteria or manually select associated words, making it difficult and burdensome to create an association dictionary that accurately reflects a user's taste or preferences.
Innovation Solution
An association dictionary creation apparatus that automatically selects words and associated words based on user preferences stored in a profile, using a word selection unit and associated word storage unit to create an association dictionary by calculating and storing word pairs with high association degrees from a database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually determine relationships between words or input search criteria to create an association dictionary, then the accuracy and adaptability of the association dictionary to user preferences can be improved, but the operation burden and time consumption increase significantly
Solution Approach 1:
The system automatically analyzes user browsing history and behavior data to generate association dictionaries without requiring manual user input. The apparatus self-services by collecting user preference information from browsing logs, automatically determining word relationships, and creating personalized association dictionaries, thereby eliminating the need for users to manually input search criteria or select associated words.
Solution Approach 2:
The system utilizes user browsing history and behavior feedback to continuously refine and update the association dictionary. By analyzing what users actually browse and interact with, the system adjusts the association relationships to better reflect user preferences, creating a closed-loop feedback mechanism that improves accuracy over time without additional user effort.
2Measurement precision
If users input optimal search criteria to obtain highly accurate association dictionaries, then the quality of the association dictionary improves, but the time and complexity of determining search criteria increase
Solution Approach 1:
The system performs preliminary analysis of user browsing behavior in advance to pre-generate association relationships. By continuously analyzing user history and pre-computing potential association dictionaries, the system prepares accurate associations before they are needed, eliminating the time users would otherwise spend determining optimal search criteria at the moment of use.
Solution Approach 2:
The apparatus automatically extracts search criteria and associated words from user browsing history without requiring user intervention. The system self-services by identifying relevant keywords and relationships from accumulated behavior data, thereby eliminating the time users would spend formulating and inputting search criteria.
3Adaptability or versatility
If the association dictionary is created to cover multiple fields and topics, then the versatility and applicability improve, but the complexity of determining optimal search criteria for each field increases
Solution Approach 1:
The system creates different association dictionaries tailored to specific fields and topics based on user browsing patterns. Instead of using a single generic dictionary, the apparatus analyzes which fields the user browses most and generates specialized association relationships for each relevant domain, providing locally optimized quality for each field while maintaining overall versatility.
Solution Approach 2:
The apparatus uses a unified browsing history analysis mechanism that automatically adapts to multiple fields and topics. The same core technology serves multiple purposes by analyzing user behavior across different domains and generating appropriate association dictionaries for each, thereby achieving multi-functionality without requiring separate complex systems for each field.
Data Source
AI summary
An association dictionary creation apparatus is provided that is capable of easily and efficiently creating an association dictionary suiting the user's taste. The association dictionary creation unit includes: a profile storage unit that stores a profile which is information regarding the user's taste; a word selection unit that determines, every predetermined time, a word from the profile stored in the profile storage unit as an associated word search word, and further, selects words, other than the associated word search word, included in the profile as the associated word candidates; and an association degree calculation unit that calculates the degree of association between the associated word search word and each associated word candidate word selected by the word selection unit with reference to the contents stored in the contents storage unit, and when the association degree is higher than a predetermined threshold value, sets the associated word search word and the associated word candidate word as the associated word pair and stores the associated word pair and the association degree in the association dictionary storage unit in association with each other.